Description: This report highlights the findings of the 2009 survey and focuses on issues in the survey specifically as they relate to economic and financial issues.

Description: Discussant comments for the 2009 Housing Wealth monograph paper, “The Impact of Diminishing Wealth on Future Consumption: How Housing Wealth Affects Retirement Planning.” The goal of the paper is to help financial professionals and plan sponsors recognize that retirement planning is being influenced by new factors and suggests ways they can readjust retirement planning strategies. The discussant has additional suggestions for financial professionals.

Description: The Retirement Section and Retirement Section Research Committee are pleased to make available a research report examining academic and practitioner research on low interest rates in the United States.

Description: This report highlights findings from the 2011 Retirement Risks Survey related to economic and financial issues, with additional sources for commentary.

Description: This study addresses some aspects of the financial impact on women under the Social Security benefits reform or redistribution.

Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report covering the extent to which investment sectors have been contagiously affected by major disasters.

Description: Details on the Retirement Section Council and the direction we're moving for our members.

Description: This research report educates the actuarial community about the various shades of the flood risk as well as the state of the art in quantitative flood risk modeling.

Description: This report provides actuaries and other finance professionals with an example of running the Medicaid Unwinding model with results at the national level on projected changes in both acuity and enrollment for Medicaid and Children’s Health Insurance Program.

Description: Up until recent past, the artificial intelligence portion of data science was looked upon cautiously due to its history of booms and flops . In the latest stream of events, major improvements have taken place in this field and now deep learning, the new leading front for Artificial Intelligence, presents a promising prospect for overcoming problems of big data.